Address:
Campus SophiaTech
450 Route des Chappes
06410 Biot, FRANCE
Office: 419
Phone: +33 4 93 00 81 35
Email Address: maurizio.filippone [at] eurecom.fr
Book time with me on: youcanbook.me
NEWS
06-12-22 Webinar with the discussion of the Bayesian Analysis paper "Deep Gaussian Processes for Calibration of Computer Models". (link)
30-11-22 Poster presentation at NeurIPS of our JMLR paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" (link)
24-10-22 Talk at the workshop on Statistical Deep Learning Functional priors for Bayesian deep learning (link)
17-10-22 I will visit Data61 in Sydney and University of Wollongong over the next two weeks.
21-06-22 The paper "Deep Gaussian Processes for Calibration of Computer Models" has been selected to be a discussion paper! (pdf)
15-05-22 The paper "Revisiting the Effects of Stochasticity for Hamiltonian Samplers" has been accepted at ICML 2022! (pdf)
25-03-22 The paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" will appear in JMLR! (pdf)
28-09-21 The paper "Model Selection for Bayesian Autoencoders" has been accepted at NeurIPS 2021! (pdf)
15-09-21 The paper "Deep Gaussian Processes for Calibration of Computer Models" has been accepted in the Bayesian Analysis journal! (pdf)
08-05-21 Two papers accepted at ICML 2021 (link)
30-01-21 The paper "Deep Compositional Spatial Models" has been accepted in the Journal of the American Statistical Association! (pdf) (link)
23-01-21 The paper "Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations" has been accepted at AISTATS 2021! (pdf)
25-11-20 Check out our new paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" (link)
11-11-20 Check out our new paper "Sparse within Sparse Gaussian Processes using Neighbor Information" (link)
19-10-20 Check out our new paper "An Identifiable Double VAE For Disentangled Representations" (link)
26-09-20 The paper "Walsh-Hadamard Variational Inference for Bayesian Deep Learning" has been accepted at NeurIPS 2020! (pdf) (code)
09-06-20 Check out our new paper "Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling" (link)
08-06-20 Check out our new paper "A Variational View on Bootstrap Ensembles as Bayesian Inference" (link)
04-06-20 The paper "Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting" has been accepted at ECML/PKDD 2020! (pdf)
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